We performed a comparison between Elastic Observability and ScienceLogic based on real PeerSpot user reviews.
Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"Its diverse set of features available on the cloud is of significant importance."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"The price is very less expensive compared to the other solutions."
"One of the valuable features is rapid dashboards."
"I'm satisfied with ScienceLogicfor for what they can offer today because they can offer both serverless connectivity and agent connectivity."
"The most valuable features of ScienceLogic are AI and machine learning."
"ScienceLogic allows us to create and customize a user-friendly dashboard."
"It has good monitoring capabilities across cloud environments, data centers, and hybrid environments."
"It is simple."
"Dynamic Component Mapping is key and unique."
"Best feature of all is detailed monitoring of services, processes, ports and SSL certificates and or web content."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"The cost must be made more transparent."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"Elastic Observability needs to have better standardization, logging, and schema."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"ScienceLogic does not have application monitoring. We definitely need something integrated within ScienceLogic to monitor applications so that we don't have to rely on monitoring tools to monitor other applications. At least the ones that are market leaders, such as SAP, Oracle, and others."
"I would like to see out-of-the-box standard dashboards for common services."
"It was challenging onboarding users."
"ScienceLogic should provide detailed documents to customer as the current documents are not sufficient."
"They should add CLI command modes and scripts for high performance."
"Admins do not have direct access to the reporting."
"It doesn't have the complete application-level topology. It could have service topology and business service monitoring. I would like to see how business service monitoring will function with agent-based installation, and how flexible and business-oriented it is for service modeling and service infrastructure. I have a lot of experience in using business service monitoring, service topology, and service hierarchy functionalities in similar products from BMC and Micro Focus (OpenView), and I want to see how these functionalities will look like in ScienceLogic."
"There are often bugs in new releases."
Elastic Observability is ranked 10th in IT Infrastructure Monitoring with 22 reviews while ScienceLogic is ranked 12th in IT Infrastructure Monitoring with 42 reviews. Elastic Observability is rated 7.8, while ScienceLogic is rated 8.6. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". On the other hand, the top reviewer of ScienceLogic writes "Great integrations, power flow, and good support". Elastic Observability is most compared with Dynatrace, New Relic, Azure Monitor, Sentry and AppDynamics, whereas ScienceLogic is most compared with Dynatrace, LogicMonitor, SolarWinds NPM, Datadog and Zabbix. See our Elastic Observability vs. ScienceLogic report.
See our list of best IT Infrastructure Monitoring vendors and best Cloud Monitoring Software vendors.
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